Professional self-determination theory of senior pupils in Russian psychology by E. P. Shutova, A. S. Velikanova (Gerasimova)

“…Some researchers focus on the goal and end result of vocational self-determination, while others seek to reveal the algorithm of the process itself and/or its stages. …”
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Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network by Yan-jiang Jin, Ben-xian Shen, Ruo-fan Ren, Lei Yang, Jun Sui, Ji-gang Zhao

“…The backpropagation neural network was trained by the original formula and ameliorated formula on the basis of Levenberg-Marquardt algorithm, and the relative error between the simulation results and experimental data is less than 1%. …”
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A CLUSTERING TECHNIQUE FOR THE VIETNAMESE WORD CATEGORIZATION by Nguyễn Minh Hiệp, Nguyễn Thị Minh Huyền, Ngô Thế Quyền, Trần Thị Phương Linh

“…This paper presents an application of the DBSCAN clustering algorithm to classify Vietnamese words from a large corpus. …”
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Performance Analysis and Dimensional Multi-objective Optimization for an Asymmetry 2UPS-UP Parallel Mechanism by Jian Yi, Linxian Che, Bing He, Jie Li

“…Furthermore， a multi-objective evolutionary algorithm is employed to solve this problem， and multiple Pareto optimal solutions are obtained.…”
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Fault Diagnosis Method for Bearing of High-Speed Train Based on Multitask Deep Learning by Jia Gu, Ming Huang

“…Firstly, the operating condition parameters of the high-speed train are analyzed and identified, and the K-means algorithm is used to classify and identify the operating condition of the high-speed train. …”
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Improved Power Control Using Optimal Adjustable Coefficients for Three-Phase Photovoltaic Inverter under Unbalanced Grid Voltage by Qianggang Wang, Niancheng Zhou, Xiaoxuan Lou, Xu Chen

“…Through the optimization algorithm, the coefficients can be determined aiming to generate the minimum integrated amplitudes of the active and reactive power references with the constraints of the inverter current and DC voltage fluctuation. …”
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Optimum Synthesis of Pencil Beams with Constrained Dynamic Range Ratio by Marko Matijascic, Maja Jurisic Bellotti, Mladen Vucic, Goran Molnar

“…By incorporating these problems into a branch and bound algorithm, the procedures for global optimizations are formed which systematically search the space of all coefficient signs. …”
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Comparative Glycopeptide Analysis for Protein Glycosylation by Liquid Chromatography and Tandem Mass Spectrometry: Variation in Glycosylation Patterns of Site-Directed Mutagenized... by Young Hye Hahm, Sung Ho Hahm, Hyoun Young Jo, Yeong Hee Ahn

“…In this study, glycopeptide mapping of a reference and biosimilar recombinant antibodies (rAbs) was performed using liquid chromatography-electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) and an automated Glycoproteome Analyzer (GPA) algorithm. The tandem mass analyses for the reference and biosimilar samples indicate that this approach proves to be highly efficient in reproducing consistent analytical results and discovering the implications of different rAb production methods on glycosylation patterns. …”
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Design and implementation of state-of-charge estimation based on back-propagation neural network for smart uninterruptible power system by Shuo Li, Song Li, Haifeng Zhao, Yuan An

“…Then, the back-propagation neural network is trained by Levenberg–Marquardt algorithm and gradient descent method; and the state of charge of batteries in uninterruptible power system is estimated by the trained back-propagation neural network. …”
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Fixed start method for repetitive project scheduling with simulated annealing by Francisco Moreno, Eric Forcael, Francisco Orozco, Felipe Baesler, Duzgun Agdas

“…To achieve this, a Fixed Start Method (FSM) —where the starts of each activity with a high level of probabilistic confidence for the planned project duration are fixed— was applied, where the high level of probabilistic confidence obtained was optimized with the use of the metaheuristic algorithm called Simulated Annealing (SA). This procedure evaluated the project completion in a case study based on the coefficient of variance (COV) of the resulting standard deviation, mean, and temperature selected for the SA. …”
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The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis by Omer F. Akmese, Gul Dogan, Hakan Kor, Hasan Erbay, Emre Demir

“…It was found that the gradient boosted trees algorithm achieves the best success with an accurate prediction success of 95.31%. …”
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GRAY CORRELATION ANALYSIS OF SURFACE INTEGRITY OF ULTRASONIC-ASSISTED ROLLING GCR15 BEARING STEEL by LEI Jun, SU YongXiang, XU QingJun

“…The ultrasonic-assisted rolling test was used to combine the gray theory,response surface method and genetic algorithm to ultrasonically assisted rolling GCr15 bearing steel. …”
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Reliability Assessment of Steel-Concrete Composite Beams considering Metal Corrosion Effects by Trong-Ha Nguyen, Duy-Duan Nguyen

“…The developed reliability analysis algorithm in this study is verified with previous studies, highlighting the capability of the used method. …”
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Optimization and Modeling of Optical Emission Spatial Coverage from Underwater Multi-Faceted Optical Base Stations by Junjie Shi, Chunbo Ma, Xu Tian, Hanjun Guo, Jun Ao

“…Additionally, a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is used to optimize the configuration of the multi-faceted LED array by adjusting the deflection angles of the LED arrays and the emission half-angle of the LEDs at the OBS. …”
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Weighted Multiple-Model Neural Network Adaptive Control for Robotic Manipulators with Jumping Parameters by Jiazhi Li, Weicun Zhang, Quanmin Zhu

“…The WMNNAC strategy with improved weighting algorithm is adopted to ensure the tracking performance of the robotic manipulator system when parameters jump largely. …”
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Mixed Integer Programming-Based Liveness Test for FMS with Full Routing Flexibility by Lida Dong, Tianyang Chi, Chengcheng Zhu, Jun Yin

“…Furthermore, the liveness property of S*PR nets can be tested in two steps: first, for a given S*PR net, constructing an OSC-S*PR net to ensure that if the latter is live then the former must be live; second, testing liveness of the constructed OSC-S*PR net by the aforementioned MIP-based algorithm. In the end, the performance of the method is demonstrated by an application of FMS.…”
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Multicompare Tests of the Performance of Different Metaheuristics in EEG Dipole Source Localization by Diana Irazú Escalona-Vargas, Ivan Lopez-Arevalo, David Gutiérrez

“…We study the use of nonparametric multicompare statistical tests on the performance of simulated annealing (SA), genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE), when used for electroencephalographic (EEG) source localization. …”
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Collaborative Transport Strategy for Dual AGVs in Smart Ports: Enhancing Docking Accuracy in No-Load Formations by Qiang Zhang, Wenfeng Li, Long Guo, Xiaohang Qi

“…This framework includes a feedback mechanism based on the leader–follower formation model, along with a closed-loop controller utilizing the sliding mode control algorithm. Finally, simulation and physical tests based on real port data verify the proposed strategy’s effectiveness. …”
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A Systematic Method of Interconnection Optimization for Dense-Array Concentrator Photovoltaic System by Fei-Lu Siaw, Kok-Keong Chong

“…Using measured flux distribution data, each CPV cells’ voltage and current values at three critical points which are at short-circuit, open-circuit, and maximum power point are determined. From there, an algorithm groups the cells into basic modules. The next step is I-V curve prediction, to find the maximum output power of each array configuration. …”
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Computing Assortative Mixing by Degree with the s-Metric in Networks Using Linear Programming by Lourens J. Waldorp, Verena D. Schmittmann

“…We use Lagrangian relaxation and the subgradient algorithm to obtain a solution to the s-metric problem. …”
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